Yile Ao

691 total citations
20 papers, 518 citations indexed

About

Yile Ao is a scholar working on Geophysics, Mechanical Engineering and Ocean Engineering. According to data from OpenAlex, Yile Ao has authored 20 papers receiving a total of 518 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Geophysics, 10 papers in Mechanical Engineering and 9 papers in Ocean Engineering. Recurrent topics in Yile Ao's work include Seismic Imaging and Inversion Techniques (11 papers), Hydraulic Fracturing and Reservoir Analysis (8 papers) and Hydrocarbon exploration and reservoir analysis (7 papers). Yile Ao is often cited by papers focused on Seismic Imaging and Inversion Techniques (11 papers), Hydraulic Fracturing and Reservoir Analysis (8 papers) and Hydrocarbon exploration and reservoir analysis (7 papers). Yile Ao collaborates with scholars based in China and Netherlands. Yile Ao's co-authors include Liping Zhu, Zhongguo Yang, Hongqi Li, Sikandar Ali, Wenkai Lu, Patrice Monkam, Pengcheng Xu, Yuqing Wang, Qi Wang and Xiuquan Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Geoscience and Remote Sensing and Computers & Geosciences.

In The Last Decade

Yile Ao

18 papers receiving 513 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Yile Ao China 10 196 189 160 121 106 20 518
Pu Wang China 12 170 0.9× 232 1.2× 217 1.4× 133 1.1× 40 0.4× 61 574
Daniel Wedge Australia 11 65 0.3× 131 0.7× 101 0.6× 63 0.5× 243 2.3× 38 395
Jianchao Liu China 14 71 0.4× 157 0.8× 122 0.8× 89 0.7× 144 1.4× 38 509
Quan Ren China 10 94 0.5× 51 0.3× 111 0.7× 139 1.1× 102 1.0× 30 339
Jian Zheng China 11 99 0.5× 505 2.7× 104 0.7× 131 1.1× 71 0.7× 41 1.0k
Jianbing Wu United States 6 277 1.4× 99 0.5× 184 1.1× 68 0.6× 132 1.2× 12 788
Steinar Løve Ellefmo Norway 11 91 0.5× 26 0.1× 122 0.8× 65 0.5× 90 0.8× 34 375
Xinming Lu China 11 48 0.2× 72 0.4× 45 0.3× 60 0.5× 49 0.5× 39 326
Andrew J. Hill Australia 12 67 0.3× 68 0.4× 70 0.4× 79 0.7× 34 0.3× 37 551

Countries citing papers authored by Yile Ao

Since Specialization
Citations

This map shows the geographic impact of Yile Ao's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Yile Ao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yile Ao more than expected).

Fields of papers citing papers by Yile Ao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yile Ao. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Yile Ao. The network helps show where Yile Ao may publish in the future.

Co-authorship network of co-authors of Yile Ao

This figure shows the co-authorship network connecting the top 25 collaborators of Yile Ao. A scholar is included among the top collaborators of Yile Ao based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yile Ao. Yile Ao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Ao, Yile, et al.. (2024). Improving Logging-While-Drilling Azimuthal Imaging With Deep Learning Super-Resolution. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–15.
2.
Lu, Wenkai, et al.. (2023). Seismic Stratigraphic Interpretation Based on Deep Active Learning. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–11. 5 indexed citations
3.
Ao, Yile, et al.. (2023). A Ground-Roll Separation Method Based on Neural Networks With Morphological Similarity Loss. IEEE Geoscience and Remote Sensing Letters. 20. 1–5.
4.
Wang, Yuqing, et al.. (2022). UB-Net: Improved Seismic Inversion Based on Uncertainty Backpropagation. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–11. 18 indexed citations
5.
Wang, Qi, Yuqing Wang, Yile Ao, & Wenkai Lu. (2022). Seismic Inversion Based on 2D-CNNs and Domain Adaption. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–12. 13 indexed citations
6.
Ao, Yile, et al.. (2021). Seismic Dip Estimation With a Domain Knowledge Constrained Transfer Learning Approach. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–16. 31 indexed citations
7.
Lu, Wenkai, et al.. (2021). Super-Resolution of Seismic Velocity Model Guided by Seismic Data. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–12. 18 indexed citations
8.
Ao, Yile, et al.. (2021). Sequence-to-sequence borehole formation property prediction via multi-task deep networks with sparse core calibration. Journal of Petroleum Science and Engineering. 208. 109637–109637. 8 indexed citations
9.
Ao, Yile, et al.. (2020). Synthesize Nuclear Magnetic Resonance T2 Spectrum From Conventional Logging Responses With Spectrum Regression Forest. IEEE Geoscience and Remote Sensing Letters. 18(10). 1726–1730. 5 indexed citations
10.
Ao, Yile, et al.. (2020). Probabilistic logging lithology characterization with random forest probability estimation. Computers & Geosciences. 144. 104556–104556. 30 indexed citations
11.
Lu, Wenkai, et al.. (2020). Multitask Learning for Super-Resolution of Seismic Velocity Model. IEEE Transactions on Geoscience and Remote Sensing. 59(9). 8022–8033. 37 indexed citations
12.
Ao, Yile, et al.. (2020). Seismic Structural Curvature Volume Extraction With Convolutional Neural Networks. IEEE Transactions on Geoscience and Remote Sensing. 59(9). 7370–7384. 28 indexed citations
13.
Li, Xiuquan, et al.. (2019). Combining Regression Kriging With Machine Learning Mapping for Spatial Variable Estimation. IEEE Geoscience and Remote Sensing Letters. 17(1). 27–31. 7 indexed citations
14.
Ao, Yile, Jiangyu Wang, Mei Zhou, Roderik Lindenbergh, & Michael Ying Yang. (2019). FULLY CONVOLUTIONAL NETWORKS FOR STREET FURNITURE IDENTIFICATION IN PANORAMA IMAGES. SHILAP Revista de lepidopterología. XLII-2/W13. 13–20. 3 indexed citations
15.
Ao, Yile, Hongqi Li, Liping Zhu, & Zhongguo Yang. (2019). A SCiForest based semi-supervised learning method for the seismic interpretation of channel sand-body. Journal of Applied Geophysics. 167. 51–62. 4 indexed citations
16.
Ao, Yile, Hongqi Li, Liping Zhu, Sikandar Ali, & Zhongguo Yang. (2018). The linear random forest algorithm and its advantages in machine learning assisted logging regression modeling. Journal of Petroleum Science and Engineering. 174. 776–789. 214 indexed citations
17.
Ao, Yile, Hongqi Li, Liping Zhu, Sikandar Ali, & Zhongguo Yang. (2018). Identifying channel sand-body from multiple seismic attributes with an improved random forest algorithm. Journal of Petroleum Science and Engineering. 173. 781–792. 46 indexed citations
18.
Ao, Yile, Hongqi Li, Zhongguo Yang, & Liping Zhu. (2018). An alternative approach for machine learning seismic interpretation and its application in Daqing Oilfield. 2201–2205. 3 indexed citations
19.
Ao, Yile, Hongqi Li, Liping Zhu, Sikandar Ali, & Zhongguo Yang. (2018). Logging Lithology Discrimination in the Prototype Similarity Space With Random Forest. IEEE Geoscience and Remote Sensing Letters. 16(5). 687–691. 46 indexed citations
20.
Yang, Zhongguo, et al.. (2017). Lane Detection by Combining Trajectory Clustering and Curve Complexity Computing in Urban Environments. 116. 240–246. 2 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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